|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 80.0, |
|
"global_step": 2000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.3969079554080963, |
|
"eval_runtime": 2.9689, |
|
"eval_samples_per_second": 33.683, |
|
"eval_steps_per_second": 4.379, |
|
"step": 25 |
|
}, |
|
{ |
|
"best_epoch": 0, |
|
"best_eval_accuracy": 0.6, |
|
"epoch": 1.0, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 0.47094520926475525, |
|
"eval_runtime": 3.0206, |
|
"eval_samples_per_second": 33.106, |
|
"eval_steps_per_second": 4.304, |
|
"step": 50 |
|
}, |
|
{ |
|
"best_epoch": 0, |
|
"best_eval_accuracy": 0.6, |
|
"epoch": 2.0, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.42, |
|
"eval_loss": 0.33409440517425537, |
|
"eval_runtime": 3.0742, |
|
"eval_samples_per_second": 32.529, |
|
"eval_steps_per_second": 4.229, |
|
"step": 75 |
|
}, |
|
{ |
|
"best_epoch": 0, |
|
"best_eval_accuracy": 0.6, |
|
"epoch": 3.0, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.54, |
|
"eval_loss": 0.3011420965194702, |
|
"eval_runtime": 3.0993, |
|
"eval_samples_per_second": 32.265, |
|
"eval_steps_per_second": 4.194, |
|
"step": 100 |
|
}, |
|
{ |
|
"best_epoch": 0, |
|
"best_eval_accuracy": 0.6, |
|
"epoch": 4.0, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.36, |
|
"eval_loss": 0.3118648827075958, |
|
"eval_runtime": 3.1211, |
|
"eval_samples_per_second": 32.04, |
|
"eval_steps_per_second": 4.165, |
|
"step": 125 |
|
}, |
|
{ |
|
"best_epoch": 0, |
|
"best_eval_accuracy": 0.6, |
|
"epoch": 5.0, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.37, |
|
"eval_loss": 0.32973361015319824, |
|
"eval_runtime": 3.1414, |
|
"eval_samples_per_second": 31.833, |
|
"eval_steps_per_second": 4.138, |
|
"step": 150 |
|
}, |
|
{ |
|
"best_epoch": 0, |
|
"best_eval_accuracy": 0.6, |
|
"epoch": 6.0, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.53, |
|
"eval_loss": 0.29277390241622925, |
|
"eval_runtime": 3.1486, |
|
"eval_samples_per_second": 31.76, |
|
"eval_steps_per_second": 4.129, |
|
"step": 175 |
|
}, |
|
{ |
|
"best_epoch": 0, |
|
"best_eval_accuracy": 0.6, |
|
"epoch": 7.0, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.63, |
|
"eval_loss": 0.3078657388687134, |
|
"eval_runtime": 3.1562, |
|
"eval_samples_per_second": 31.684, |
|
"eval_steps_per_second": 4.119, |
|
"step": 200 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 8.0, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.61, |
|
"eval_loss": 0.2875213921070099, |
|
"eval_runtime": 3.1568, |
|
"eval_samples_per_second": 31.677, |
|
"eval_steps_per_second": 4.118, |
|
"step": 225 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 9.0, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.54, |
|
"eval_loss": 0.2906056344509125, |
|
"eval_runtime": 3.1601, |
|
"eval_samples_per_second": 31.644, |
|
"eval_steps_per_second": 4.114, |
|
"step": 250 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 10.0, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.62, |
|
"eval_loss": 0.2903980016708374, |
|
"eval_runtime": 3.1623, |
|
"eval_samples_per_second": 31.622, |
|
"eval_steps_per_second": 4.111, |
|
"step": 275 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 11.0, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.52, |
|
"eval_loss": 0.2946452796459198, |
|
"eval_runtime": 3.1658, |
|
"eval_samples_per_second": 31.588, |
|
"eval_steps_per_second": 4.106, |
|
"step": 300 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 12.0, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.51, |
|
"eval_loss": 0.294162392616272, |
|
"eval_runtime": 3.1659, |
|
"eval_samples_per_second": 31.587, |
|
"eval_steps_per_second": 4.106, |
|
"step": 325 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 13.0, |
|
"step": 325 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.56, |
|
"eval_loss": 0.29346808791160583, |
|
"eval_runtime": 3.1677, |
|
"eval_samples_per_second": 31.569, |
|
"eval_steps_per_second": 4.104, |
|
"step": 350 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 14.0, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy": 0.58, |
|
"eval_loss": 0.29134005308151245, |
|
"eval_runtime": 3.1688, |
|
"eval_samples_per_second": 31.558, |
|
"eval_steps_per_second": 4.103, |
|
"step": 375 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 15.0, |
|
"step": 375 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.2886267304420471, |
|
"eval_runtime": 3.1675, |
|
"eval_samples_per_second": 31.571, |
|
"eval_steps_per_second": 4.104, |
|
"step": 400 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 16.0, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.2899758815765381, |
|
"eval_runtime": 3.1773, |
|
"eval_samples_per_second": 31.473, |
|
"eval_steps_per_second": 4.091, |
|
"step": 425 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 17.0, |
|
"step": 425 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"eval_accuracy": 0.59, |
|
"eval_loss": 0.28738337755203247, |
|
"eval_runtime": 3.1788, |
|
"eval_samples_per_second": 31.459, |
|
"eval_steps_per_second": 4.09, |
|
"step": 450 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 18.0, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.2909628748893738, |
|
"eval_runtime": 3.1848, |
|
"eval_samples_per_second": 31.399, |
|
"eval_steps_per_second": 4.082, |
|
"step": 475 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 19.0, |
|
"step": 475 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"learning_rate": 0.015, |
|
"loss": 0.6674, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.47, |
|
"eval_loss": 0.29309767484664917, |
|
"eval_runtime": 3.1809, |
|
"eval_samples_per_second": 31.437, |
|
"eval_steps_per_second": 4.087, |
|
"step": 500 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 20.0, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 21.0, |
|
"eval_accuracy": 0.51, |
|
"eval_loss": 0.2908664643764496, |
|
"eval_runtime": 3.1834, |
|
"eval_samples_per_second": 31.413, |
|
"eval_steps_per_second": 4.084, |
|
"step": 525 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 21.0, |
|
"step": 525 |
|
}, |
|
{ |
|
"epoch": 22.0, |
|
"eval_accuracy": 0.62, |
|
"eval_loss": 0.28550270199775696, |
|
"eval_runtime": 3.1765, |
|
"eval_samples_per_second": 31.481, |
|
"eval_steps_per_second": 4.092, |
|
"step": 550 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 22.0, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 23.0, |
|
"eval_accuracy": 0.61, |
|
"eval_loss": 0.28806307911872864, |
|
"eval_runtime": 3.1841, |
|
"eval_samples_per_second": 31.406, |
|
"eval_steps_per_second": 4.083, |
|
"step": 575 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 23.0, |
|
"step": 575 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.2877710461616516, |
|
"eval_runtime": 3.1789, |
|
"eval_samples_per_second": 31.457, |
|
"eval_steps_per_second": 4.089, |
|
"step": 600 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 24.0, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 25.0, |
|
"eval_accuracy": 0.57, |
|
"eval_loss": 0.28737229108810425, |
|
"eval_runtime": 3.1767, |
|
"eval_samples_per_second": 31.479, |
|
"eval_steps_per_second": 4.092, |
|
"step": 625 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 25.0, |
|
"step": 625 |
|
}, |
|
{ |
|
"epoch": 26.0, |
|
"eval_accuracy": 0.54, |
|
"eval_loss": 0.28571534156799316, |
|
"eval_runtime": 3.1813, |
|
"eval_samples_per_second": 31.434, |
|
"eval_steps_per_second": 4.086, |
|
"step": 650 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 26.0, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 27.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.28705817461013794, |
|
"eval_runtime": 3.1784, |
|
"eval_samples_per_second": 31.462, |
|
"eval_steps_per_second": 4.09, |
|
"step": 675 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 27.0, |
|
"step": 675 |
|
}, |
|
{ |
|
"epoch": 28.0, |
|
"eval_accuracy": 0.59, |
|
"eval_loss": 0.2864057421684265, |
|
"eval_runtime": 3.1813, |
|
"eval_samples_per_second": 31.433, |
|
"eval_steps_per_second": 4.086, |
|
"step": 700 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 28.0, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 29.0, |
|
"eval_accuracy": 0.62, |
|
"eval_loss": 0.286210834980011, |
|
"eval_runtime": 3.1863, |
|
"eval_samples_per_second": 31.385, |
|
"eval_steps_per_second": 4.08, |
|
"step": 725 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 29.0, |
|
"step": 725 |
|
}, |
|
{ |
|
"epoch": 30.0, |
|
"eval_accuracy": 0.58, |
|
"eval_loss": 0.2865646183490753, |
|
"eval_runtime": 3.1876, |
|
"eval_samples_per_second": 31.372, |
|
"eval_steps_per_second": 4.078, |
|
"step": 750 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 30.0, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 31.0, |
|
"eval_accuracy": 0.63, |
|
"eval_loss": 0.2837320864200592, |
|
"eval_runtime": 3.1888, |
|
"eval_samples_per_second": 31.359, |
|
"eval_steps_per_second": 4.077, |
|
"step": 775 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 31.0, |
|
"step": 775 |
|
}, |
|
{ |
|
"epoch": 32.0, |
|
"eval_accuracy": 0.58, |
|
"eval_loss": 0.28590789437294006, |
|
"eval_runtime": 3.1898, |
|
"eval_samples_per_second": 31.35, |
|
"eval_steps_per_second": 4.076, |
|
"step": 800 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 32.0, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 33.0, |
|
"eval_accuracy": 0.59, |
|
"eval_loss": 0.28413906693458557, |
|
"eval_runtime": 3.1938, |
|
"eval_samples_per_second": 31.31, |
|
"eval_steps_per_second": 4.07, |
|
"step": 825 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 33.0, |
|
"step": 825 |
|
}, |
|
{ |
|
"epoch": 34.0, |
|
"eval_accuracy": 0.62, |
|
"eval_loss": 0.2877855598926544, |
|
"eval_runtime": 3.195, |
|
"eval_samples_per_second": 31.299, |
|
"eval_steps_per_second": 4.069, |
|
"step": 850 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 34.0, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 35.0, |
|
"eval_accuracy": 0.61, |
|
"eval_loss": 0.2889203727245331, |
|
"eval_runtime": 3.1944, |
|
"eval_samples_per_second": 31.304, |
|
"eval_steps_per_second": 4.07, |
|
"step": 875 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 35.0, |
|
"step": 875 |
|
}, |
|
{ |
|
"epoch": 36.0, |
|
"eval_accuracy": 0.59, |
|
"eval_loss": 0.2829570770263672, |
|
"eval_runtime": 3.1904, |
|
"eval_samples_per_second": 31.344, |
|
"eval_steps_per_second": 4.075, |
|
"step": 900 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 36.0, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 37.0, |
|
"eval_accuracy": 0.59, |
|
"eval_loss": 0.28235161304473877, |
|
"eval_runtime": 3.189, |
|
"eval_samples_per_second": 31.358, |
|
"eval_steps_per_second": 4.077, |
|
"step": 925 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 37.0, |
|
"step": 925 |
|
}, |
|
{ |
|
"epoch": 38.0, |
|
"eval_accuracy": 0.63, |
|
"eval_loss": 0.28012779355049133, |
|
"eval_runtime": 3.1877, |
|
"eval_samples_per_second": 31.37, |
|
"eval_steps_per_second": 4.078, |
|
"step": 950 |
|
}, |
|
{ |
|
"best_epoch": 7, |
|
"best_eval_accuracy": 0.63, |
|
"epoch": 38.0, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 39.0, |
|
"eval_accuracy": 0.65, |
|
"eval_loss": 0.2931237518787384, |
|
"eval_runtime": 3.1852, |
|
"eval_samples_per_second": 31.395, |
|
"eval_steps_per_second": 4.081, |
|
"step": 975 |
|
}, |
|
{ |
|
"best_epoch": 38, |
|
"best_eval_accuracy": 0.65, |
|
"epoch": 39.0, |
|
"step": 975 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"learning_rate": 0.01, |
|
"loss": 0.5477, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"eval_accuracy": 0.64, |
|
"eval_loss": 0.2787815034389496, |
|
"eval_runtime": 3.185, |
|
"eval_samples_per_second": 31.397, |
|
"eval_steps_per_second": 4.082, |
|
"step": 1000 |
|
}, |
|
{ |
|
"best_epoch": 38, |
|
"best_eval_accuracy": 0.65, |
|
"epoch": 40.0, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 41.0, |
|
"eval_accuracy": 0.63, |
|
"eval_loss": 0.2892024517059326, |
|
"eval_runtime": 3.1842, |
|
"eval_samples_per_second": 31.406, |
|
"eval_steps_per_second": 4.083, |
|
"step": 1025 |
|
}, |
|
{ |
|
"best_epoch": 38, |
|
"best_eval_accuracy": 0.65, |
|
"epoch": 41.0, |
|
"step": 1025 |
|
}, |
|
{ |
|
"epoch": 42.0, |
|
"eval_accuracy": 0.58, |
|
"eval_loss": 0.2937439978122711, |
|
"eval_runtime": 3.1848, |
|
"eval_samples_per_second": 31.399, |
|
"eval_steps_per_second": 4.082, |
|
"step": 1050 |
|
}, |
|
{ |
|
"best_epoch": 38, |
|
"best_eval_accuracy": 0.65, |
|
"epoch": 42.0, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 43.0, |
|
"eval_accuracy": 0.66, |
|
"eval_loss": 0.28862202167510986, |
|
"eval_runtime": 3.1818, |
|
"eval_samples_per_second": 31.428, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1075 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 43.0, |
|
"step": 1075 |
|
}, |
|
{ |
|
"epoch": 44.0, |
|
"eval_accuracy": 0.62, |
|
"eval_loss": 0.2842145264148712, |
|
"eval_runtime": 3.1861, |
|
"eval_samples_per_second": 31.386, |
|
"eval_steps_per_second": 4.08, |
|
"step": 1100 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 44.0, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 45.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.28565531969070435, |
|
"eval_runtime": 3.1841, |
|
"eval_samples_per_second": 31.406, |
|
"eval_steps_per_second": 4.083, |
|
"step": 1125 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 45.0, |
|
"step": 1125 |
|
}, |
|
{ |
|
"epoch": 46.0, |
|
"eval_accuracy": 0.62, |
|
"eval_loss": 0.28344452381134033, |
|
"eval_runtime": 3.1839, |
|
"eval_samples_per_second": 31.408, |
|
"eval_steps_per_second": 4.083, |
|
"step": 1150 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 46.0, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 47.0, |
|
"eval_accuracy": 0.56, |
|
"eval_loss": 0.28242892026901245, |
|
"eval_runtime": 3.1842, |
|
"eval_samples_per_second": 31.405, |
|
"eval_steps_per_second": 4.083, |
|
"step": 1175 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 47.0, |
|
"step": 1175 |
|
}, |
|
{ |
|
"epoch": 48.0, |
|
"eval_accuracy": 0.65, |
|
"eval_loss": 0.28662043809890747, |
|
"eval_runtime": 3.1872, |
|
"eval_samples_per_second": 31.376, |
|
"eval_steps_per_second": 4.079, |
|
"step": 1200 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 48.0, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 49.0, |
|
"eval_accuracy": 0.63, |
|
"eval_loss": 0.2801302969455719, |
|
"eval_runtime": 3.1865, |
|
"eval_samples_per_second": 31.382, |
|
"eval_steps_per_second": 4.08, |
|
"step": 1225 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 49.0, |
|
"step": 1225 |
|
}, |
|
{ |
|
"epoch": 50.0, |
|
"eval_accuracy": 0.62, |
|
"eval_loss": 0.28511884808540344, |
|
"eval_runtime": 3.1848, |
|
"eval_samples_per_second": 31.399, |
|
"eval_steps_per_second": 4.082, |
|
"step": 1250 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 50.0, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 51.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.2829468846321106, |
|
"eval_runtime": 3.1837, |
|
"eval_samples_per_second": 31.41, |
|
"eval_steps_per_second": 4.083, |
|
"step": 1275 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 51.0, |
|
"step": 1275 |
|
}, |
|
{ |
|
"epoch": 52.0, |
|
"eval_accuracy": 0.59, |
|
"eval_loss": 0.29002857208251953, |
|
"eval_runtime": 3.1829, |
|
"eval_samples_per_second": 31.418, |
|
"eval_steps_per_second": 4.084, |
|
"step": 1300 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 52.0, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 53.0, |
|
"eval_accuracy": 0.59, |
|
"eval_loss": 0.2781957685947418, |
|
"eval_runtime": 3.1815, |
|
"eval_samples_per_second": 31.431, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1325 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 53.0, |
|
"step": 1325 |
|
}, |
|
{ |
|
"epoch": 54.0, |
|
"eval_accuracy": 0.59, |
|
"eval_loss": 0.27934157848358154, |
|
"eval_runtime": 3.1792, |
|
"eval_samples_per_second": 31.454, |
|
"eval_steps_per_second": 4.089, |
|
"step": 1350 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 54.0, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 55.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.28086578845977783, |
|
"eval_runtime": 3.1801, |
|
"eval_samples_per_second": 31.446, |
|
"eval_steps_per_second": 4.088, |
|
"step": 1375 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 55.0, |
|
"step": 1375 |
|
}, |
|
{ |
|
"epoch": 56.0, |
|
"eval_accuracy": 0.64, |
|
"eval_loss": 0.28146588802337646, |
|
"eval_runtime": 3.1815, |
|
"eval_samples_per_second": 31.432, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1400 |
|
}, |
|
{ |
|
"best_epoch": 42, |
|
"best_eval_accuracy": 0.66, |
|
"epoch": 56.0, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 57.0, |
|
"eval_accuracy": 0.68, |
|
"eval_loss": 0.27978724241256714, |
|
"eval_runtime": 3.182, |
|
"eval_samples_per_second": 31.426, |
|
"eval_steps_per_second": 4.085, |
|
"step": 1425 |
|
}, |
|
{ |
|
"best_epoch": 56, |
|
"best_eval_accuracy": 0.68, |
|
"epoch": 57.0, |
|
"step": 1425 |
|
}, |
|
{ |
|
"epoch": 58.0, |
|
"eval_accuracy": 0.67, |
|
"eval_loss": 0.28314894437789917, |
|
"eval_runtime": 3.1846, |
|
"eval_samples_per_second": 31.401, |
|
"eval_steps_per_second": 4.082, |
|
"step": 1450 |
|
}, |
|
{ |
|
"best_epoch": 56, |
|
"best_eval_accuracy": 0.68, |
|
"epoch": 58.0, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 59.0, |
|
"eval_accuracy": 0.66, |
|
"eval_loss": 0.27948451042175293, |
|
"eval_runtime": 3.1847, |
|
"eval_samples_per_second": 31.4, |
|
"eval_steps_per_second": 4.082, |
|
"step": 1475 |
|
}, |
|
{ |
|
"best_epoch": 56, |
|
"best_eval_accuracy": 0.68, |
|
"epoch": 59.0, |
|
"step": 1475 |
|
}, |
|
{ |
|
"epoch": 60.0, |
|
"learning_rate": 0.005, |
|
"loss": 0.4601, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 60.0, |
|
"eval_accuracy": 0.68, |
|
"eval_loss": 0.2746821343898773, |
|
"eval_runtime": 3.1819, |
|
"eval_samples_per_second": 31.428, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1500 |
|
}, |
|
{ |
|
"best_epoch": 56, |
|
"best_eval_accuracy": 0.68, |
|
"epoch": 60.0, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 61.0, |
|
"eval_accuracy": 0.73, |
|
"eval_loss": 0.27249741554260254, |
|
"eval_runtime": 3.1817, |
|
"eval_samples_per_second": 31.429, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1525 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 61.0, |
|
"step": 1525 |
|
}, |
|
{ |
|
"epoch": 62.0, |
|
"eval_accuracy": 0.66, |
|
"eval_loss": 0.2840454578399658, |
|
"eval_runtime": 3.182, |
|
"eval_samples_per_second": 31.426, |
|
"eval_steps_per_second": 4.085, |
|
"step": 1550 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 62.0, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 63.0, |
|
"eval_accuracy": 0.67, |
|
"eval_loss": 0.27392327785491943, |
|
"eval_runtime": 3.1822, |
|
"eval_samples_per_second": 31.425, |
|
"eval_steps_per_second": 4.085, |
|
"step": 1575 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 63.0, |
|
"step": 1575 |
|
}, |
|
{ |
|
"epoch": 64.0, |
|
"eval_accuracy": 0.69, |
|
"eval_loss": 0.27964526414871216, |
|
"eval_runtime": 3.1831, |
|
"eval_samples_per_second": 31.416, |
|
"eval_steps_per_second": 4.084, |
|
"step": 1600 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 64.0, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 65.0, |
|
"eval_accuracy": 0.65, |
|
"eval_loss": 0.27821072936058044, |
|
"eval_runtime": 3.1837, |
|
"eval_samples_per_second": 31.41, |
|
"eval_steps_per_second": 4.083, |
|
"step": 1625 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 65.0, |
|
"step": 1625 |
|
}, |
|
{ |
|
"epoch": 66.0, |
|
"eval_accuracy": 0.7, |
|
"eval_loss": 0.27570292353630066, |
|
"eval_runtime": 3.1813, |
|
"eval_samples_per_second": 31.433, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1650 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 66.0, |
|
"step": 1650 |
|
}, |
|
{ |
|
"epoch": 67.0, |
|
"eval_accuracy": 0.69, |
|
"eval_loss": 0.27588510513305664, |
|
"eval_runtime": 3.1798, |
|
"eval_samples_per_second": 31.449, |
|
"eval_steps_per_second": 4.088, |
|
"step": 1675 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 67.0, |
|
"step": 1675 |
|
}, |
|
{ |
|
"epoch": 68.0, |
|
"eval_accuracy": 0.67, |
|
"eval_loss": 0.2779083549976349, |
|
"eval_runtime": 3.1791, |
|
"eval_samples_per_second": 31.455, |
|
"eval_steps_per_second": 4.089, |
|
"step": 1700 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 68.0, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 69.0, |
|
"eval_accuracy": 0.67, |
|
"eval_loss": 0.2822496294975281, |
|
"eval_runtime": 3.1788, |
|
"eval_samples_per_second": 31.458, |
|
"eval_steps_per_second": 4.09, |
|
"step": 1725 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 69.0, |
|
"step": 1725 |
|
}, |
|
{ |
|
"epoch": 70.0, |
|
"eval_accuracy": 0.65, |
|
"eval_loss": 0.2813234031200409, |
|
"eval_runtime": 3.1815, |
|
"eval_samples_per_second": 31.431, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1750 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 70.0, |
|
"step": 1750 |
|
}, |
|
{ |
|
"epoch": 71.0, |
|
"eval_accuracy": 0.68, |
|
"eval_loss": 0.2817613184452057, |
|
"eval_runtime": 3.1828, |
|
"eval_samples_per_second": 31.419, |
|
"eval_steps_per_second": 4.084, |
|
"step": 1775 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 71.0, |
|
"step": 1775 |
|
}, |
|
{ |
|
"epoch": 72.0, |
|
"eval_accuracy": 0.69, |
|
"eval_loss": 0.2864615023136139, |
|
"eval_runtime": 3.1825, |
|
"eval_samples_per_second": 31.422, |
|
"eval_steps_per_second": 4.085, |
|
"step": 1800 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 72.0, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 73.0, |
|
"eval_accuracy": 0.71, |
|
"eval_loss": 0.27701735496520996, |
|
"eval_runtime": 3.1818, |
|
"eval_samples_per_second": 31.429, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1825 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 73.0, |
|
"step": 1825 |
|
}, |
|
{ |
|
"epoch": 74.0, |
|
"eval_accuracy": 0.69, |
|
"eval_loss": 0.28216809034347534, |
|
"eval_runtime": 3.185, |
|
"eval_samples_per_second": 31.397, |
|
"eval_steps_per_second": 4.082, |
|
"step": 1850 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 74.0, |
|
"step": 1850 |
|
}, |
|
{ |
|
"epoch": 75.0, |
|
"eval_accuracy": 0.71, |
|
"eval_loss": 0.2782612442970276, |
|
"eval_runtime": 3.1897, |
|
"eval_samples_per_second": 31.351, |
|
"eval_steps_per_second": 4.076, |
|
"step": 1875 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 75.0, |
|
"step": 1875 |
|
}, |
|
{ |
|
"epoch": 76.0, |
|
"eval_accuracy": 0.71, |
|
"eval_loss": 0.2763740122318268, |
|
"eval_runtime": 3.1814, |
|
"eval_samples_per_second": 31.433, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1900 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 76.0, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 77.0, |
|
"eval_accuracy": 0.69, |
|
"eval_loss": 0.2772051692008972, |
|
"eval_runtime": 3.1813, |
|
"eval_samples_per_second": 31.433, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1925 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 77.0, |
|
"step": 1925 |
|
}, |
|
{ |
|
"epoch": 78.0, |
|
"eval_accuracy": 0.7, |
|
"eval_loss": 0.27587586641311646, |
|
"eval_runtime": 3.1803, |
|
"eval_samples_per_second": 31.444, |
|
"eval_steps_per_second": 4.088, |
|
"step": 1950 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 78.0, |
|
"step": 1950 |
|
}, |
|
{ |
|
"epoch": 79.0, |
|
"eval_accuracy": 0.72, |
|
"eval_loss": 0.27509966492652893, |
|
"eval_runtime": 3.1812, |
|
"eval_samples_per_second": 31.434, |
|
"eval_steps_per_second": 4.086, |
|
"step": 1975 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 79.0, |
|
"step": 1975 |
|
}, |
|
{ |
|
"epoch": 80.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.4329, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 80.0, |
|
"eval_accuracy": 0.71, |
|
"eval_loss": 0.275318443775177, |
|
"eval_runtime": 3.1812, |
|
"eval_samples_per_second": 31.435, |
|
"eval_steps_per_second": 4.087, |
|
"step": 2000 |
|
}, |
|
{ |
|
"best_epoch": 60, |
|
"best_eval_accuracy": 0.73, |
|
"epoch": 80.0, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 80.0, |
|
"step": 2000, |
|
"total_flos": 2.9821702864896e+16, |
|
"train_loss": 0.5270161437988281, |
|
"train_runtime": 1697.455, |
|
"train_samples_per_second": 18.852, |
|
"train_steps_per_second": 1.178 |
|
} |
|
], |
|
"max_steps": 2000, |
|
"num_train_epochs": 80, |
|
"total_flos": 2.9821702864896e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|